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» Using Model Counting to Find Optimal Distinguishing Tests
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BMCBI
2005
89views more  BMCBI 2005»
13 years 9 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
ICCD
2000
IEEE
119views Hardware» more  ICCD 2000»
14 years 1 months ago
Source-Level Transformations for Improved Formal Verification
A major obstacle to widespread acceptance of formal verification is the difficulty in using the tools effectively. Although learning the basic syntax and operation of a formal ver...
Brian D. Winters, Alan J. Hu
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 10 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
ANOR
2004
170views more  ANOR 2004»
13 years 9 months ago
Graph Coloring for Air Traffic Flow Management
The aim of Air Traffic Flow Management (ATFM) is to enhance the capacity of the airspace while satisfying Air Traffic Control constraints and airlines requests to optimize their o...
Nicolas Barnier, Pascal Brisset
PLDI
2005
ACM
14 years 3 months ago
Pin: building customized program analysis tools with dynamic instrumentation
Robust and powerful software instrumentation tools are essential for program analysis tasks such as profiling, performance evaluation, and bug detection. To meet this need, we ha...
Chi-Keung Luk, Robert S. Cohn, Robert Muth, Harish...